Out in the field, you gather the raw data others analyze — surveying, measuring, sampling, or interviewing, then logging it accurately wherever the work happens. The ground-level source the whole dataset depends on.
Day to day, that means traveling to sites, collecting data on a device or form, and getting it right the first time — there's often no second chance. You work outdoors or on the move, often alone, and clean data at the source saves everyone downstream. Routes, weather, and schedules shape the day.
What surprises people is how much the conditions test you — heat, distance, balky equipment, uncooperative respondents. The work can be repetitive and physically demanding, accuracy is non-negotiable, and what you collect varies hugely by project. Pay and stability depend on the contract or season.
Reliable, self-directed, and comfortable outdoors — that's who fits. If you want a desk or steady indoor routine, the conditions may not fit. But if you like being on the move and take pride in clean, accurate data, the work tends to suit — and can open into analysis.
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Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.
Roles with similar work and overlapping career paths
View all Technology roles →Out in the field, you gather the raw data others analyze — surveying, measuring, sampling, or interviewing, then logging it accurately wherever the work happens. The ground-level source the whole dataset depends on.
Median pay for a Field Data Collector is about $63K nationally, with the field ranging roughly from $37K to $119K depending on experience, employer, and metro (BLS).
Core skills for this role include Reading Comprehension, Active Listening, Speaking, Writing, and Critical Thinking.
Most people in this role hold a bachelor's degree.
Employment in this field is projected to decline about 5.2% through 2034, with roughly 7,720 people working in it today (BLS).
Closely related roles include Data Operations Director, Marketing Data Scientist, and Data Science Engineer.
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